前列腺癌差异基因表达及信号通路的生物信息学分析  

Bioinformatics analysis of differential gene expression and signal pathway in prostate cancer

作　　者：单刚[1] 张珩 田野[1] 安凌悦 罗光恒 Shan Gang;Zhang Heng;Tian Ye;An Lingyue;Luo Guangheng(Department of Urology,Guizhou Provincial People’s Hospital,Guiyang 550002,China;Medical College of Guizhou University,Guiyang 550025,China;Guangzhou Medical University,Guangzhou 511436,China)

机构地区：[1]贵州省人民医院泌尿外科,贵阳550002 [2]贵州大学医学院,贵阳550025 [3]广州医科大学,511436

出　　处：《中华实验外科杂志》2020年第12期2189-2192,共4页Chinese Journal of Experimental Surgery

基　　金：贵州省人民医院国家自然科学基金培育基金(黔科合平台人才[2017]5724-3);贵州省人民医院国家自然科学基金培育基金(黔科合平台人才[2018]5764-01);国家自然科学基金(81860141);贵州省卫健委基金(Gzwjkj2017-1-032)。

摘　　要：目的通过生物信息挖掘技术对前列腺癌基因表达谱进行分析后得到差异基因及所涉及生物学信号通路。方法使用生物信息挖掘技术对GSE46602、GSE55945、GSE69223基因表达谱芯片数据集进行分析后取交集得到差异表达基因(DEGs),后使用DAVID数据库对DEGs进行基因本体论(GO)及生物信号通路(KEGG)富集分析,使用STRING数据库及Cytoscape的cytoHubba应用程序得到蛋白互作(PPI)网络及关键基因并进行排序,最后将所得关键基因在TCGA数据库中进行验证。结果通过对GEO数据库前列腺癌的3个数据集使用R软件等工具进行分析,总共发现了225个DEGs,其中55个表达上调、170个表达下调。通过GO功能富集分析及KEGG通路分析发现这些基因富集在细胞迁移调节和血管生成等功能中,以及磷脂酰肌醇3激酶/蛋白激酶(PI3K/Akt)和p53等信号上。构建DEGs的PPI互作网络并通过cytoHubba筛选出最重要的10个基因并与TCGA数据库数据进行对比,发现碱性螺旋环螺旋转录因子1(TWIST1)、Snail家族转录抑制因子2(SNAI2)、血管内皮生长因子受体2(KDR)等在前列腺癌发生发展中起重要作用的关键基因。结论通过深层次的生物信息挖掘或许可以让人们进一步了解前列腺癌的发生发展,为将来前列腺癌的诊断及治疗提供新的靶点。Objective Bioinformatics analysis the differential genes and biological signaling pathways involved in prostate cancer were analyzed based on gene expression profile.Methods The microarray data sets of GSE46602,GSE55945 and GSE69223 gene expression profiles were analyzed by using bioinformation mining technology,and then the cross sets were obtained to find differential expressed genes(DEG).After that,the David database was used for gene ontology(GO)and KOBAS-Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis,and using the STRING database and cytoHubba of cytoscape gets protein-protein interaction(PPI)interaction network and hub genes.the hub genes are verified in TCGA database.Results Bioinformatics analysis three data sets of prostate cancer in GEO database using R software and other tools,we found 225 DEGs in total,of which 55 were up-regulated and 170 down-regulated.Analysis of GO function enrichment and KEGG pathway,we found that these genes are enriched in cell migration regulation,angiogenesis,and other functions,as well as phosphatidylinositol 3 kinase(PI3K)/protein kinase B(Akt),p53,and other signals.The PPI interaction network of DEGs was constructed and the most important 10 genes were screened out by cytohubba and compared with TCGA database data.Our study found that twist family bHLH transcription factor 1(TWIST1),snail family transcriptional repressor 2(SNAI2),kinase insert domain receptor(KDR)and other hub genes play an important role in the occurrence and development of prostate cancer.Conclusion Through deep biological information mining,we may further understand the occurrence and development of prostate cancer,and provide new targets for the diagnosis and treatment of prostate cancer in the future.

关 键 词：前列腺癌 差异表达基因 生物信息学 基因芯片 

分 类 号：Q811.4[生物学—生物工程] R737.25[医药卫生—肿瘤]